Powell Industries (POWL) Enterprise Value (2010 - 2026)
Powell Industries' Enterprise Value came in at $9.8 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 365.1% from $2.11 billion a year earlier and up 62.6% from the prior quarter.
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Analysis
Powell Industries (POWL) Enterprise Value (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Powell Industries reported Enterprise Value of $8.28 billion, up 739.8% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $3.2 billion, up 39.1% from FY2024.
- Enterprise Value has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 99.3% (FY2020 to FY2025).
- Going back by fiscal year, Enterprise Value was $2.3 billion in FY2024 (+227.1%), $704.23 million in FY2023 (+372.7%), $148.97 million in FY2022 (-3.3%) and $154.08 million in FY2021 (+51.1%).
- The fiscal Q3 2026 figure represents the highest quarterly Enterprise Value in data going back to fiscal Q3 2010.
- Year-over-year, Enterprise Value has increased for 15 consecutive quarters, with growth averaging 156.0% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q4 2023 (growth of 372.7%), and the weakest in fiscal Q2 2022 (a decline of 52.5%).
- Business Quant data shows POWL's Enterprise Value at $6.03 billion (Q2 2026), $3.37 billion (Q1 2026) and $3.2 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn |
| 10 | Powell Industries | 6.82 Bn | 4.67 Bn | 95.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.80 Bn |
| Mar 31, 2026 | 6.03 Bn |
| Dec 31, 2025 | 3.37 Bn |
| Sep 30, 2025 | 3.20 Bn |
| Jun 30, 2025 | 2.11 Bn |
| Mar 31, 2025 | 1.67 Bn |
| Dec 31, 2024 | 2.30 Bn |
| Sep 30, 2024 | 2.30 Bn |
| Jun 30, 2024 | 1.35 Bn |
| Mar 31, 2024 | 1.34 Bn |
| Dec 31, 2023 | 702.03 Mn |
| Sep 30, 2023 | 704.23 Mn |
| Jun 30, 2023 | 508.98 Mn |
| Mar 31, 2023 | 342.14 Mn |
| Dec 31, 2022 | 305.76 Mn |
| Sep 30, 2022 | 148.97 Mn |
| Jun 30, 2022 | 176.83 Mn |
| Mar 31, 2022 | 115.09 Mn |
| Dec 31, 2021 | 245.39 Mn |
| Sep 30, 2021 | 154.08 Mn |
API Access
Powell Industries Enterprise Value API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=enterprise-value&ticker=POWL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "POWL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=POWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();